AI Case Study
Biogen to design individualized treatment plans for newly diagnosed patients with providers using machine learning
Prognos has built a vast database of diseases and treatments including laboratory results and clinical diagnostic data. Biogen uses the database and machine learning to identify effective treatment plans for newly diagnosed patients enhancing treatment decision-making, risk management, and quality improvement.
Industry
Healthcare
Healthcare Equipment And Supplies
Project Overview
"Prognos strives to improve health by tracking and predicting disease earlier in partnership with Life Sciences brands, payers, and clinical diagnostics organizations. Prognos' innovations enhance the value of laboratory results and clinical diagnostic data through advanced analytics and artificial intelligence techniques.
The Prognos Registry of 5 billion clinical records for 100 million patients in over 30 disease areas enables earlier identification of patients who can benefit from enhanced treatment decision-making, risk management, and quality improvement under the HEDIS guidelines. "
Reported Results
Research; Results not yet disclosed.
However early diagnosis, identifying effective treatment plans and improved patient care are expected outcomes.
Technology
Over 500 HIPAA compliant proprietary and learning clinical algorithms
Function
R And D
Product Development
Background
Biogen with its focus on neurological diseases can leverage the vast data and analytical capabilities of Prognos to offer better care for patients
Benefits
Risk reduction - Patient outcomes
Data
The Prognos Registry of 5 billion clinical records for 100 million patients in over 30 disease areas